Identifying the gender of a person and his age by way of speaking is considered a crucial
task in computer vision. It is a very important and active research topic with many areas of …

This paper reports on a project for collection of the sound scene data. The sound scene data
is necessary for studies such as sound source localization, sound retrieval, sound …

We describe a new method of blind source separation (BSS) on a microphone array
combining subband independent component analysis (ICA) and beamforming. The …

We propose a new algorithm for blind source separation (BSS), in which independent
component analysis (ICA) and beamforming are combined to resolve the slow-convergence …

Infant-directed speech (IDS) is known to differ from adult-directed speech (ADS) in a number
of ways, and it has often been argued that some of these IDS properties facilitate infants' …

Numerosity judgments of simultaneous talkers were examined. Listeners were required to
report the number of talkers heard when this number varied (1 to 13). Spatial location of …

We propose a new algorithm for blind source separation (BSS), in which frequency-domain
independent component analysis (FDICA) and time-domain ICA (TDICA) are combined to …

This paper describes a sound scene database necessary for studies such as sound source
localization, sound retrieval, sound recognition and speech recognition in real acoustical …

Voice activity detection (VAD) is an important preprocessing step for various speech
applications to identify speech and non-speech periods in input signals. In this paper, we …

We propose a new algorithm for blind source separation (BSS), in which independent
component analysis (ICA) and beamforming are combined to resolve the low-convergence …